Marius Preda

2.0k citations
56 papers · 987 · 1 hit paper · h-index 12

Impact in

Papers in

Marius Preda

49 papers receiving 935 citations

Marius Preda's Hit Papers

Emerging MPEG Standards for Point Cloud Compression 2018 · 509 citations
5090+2+5Years since publication100200300400500

Peers

Marius Preda
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 446
  • Computer Vision and Pattern Recognition 666
  • Computational Mechanics 479
  • Signal Processing 163
  • Geology 74
Replace Rufael Mekuria with:
Rufael Mekuria Netherlands
Qiming Hou China
Madhukar Budagavi United States
Kenneth E. Hoff United States
Simone Milani Italy
Christian Lauterbach United States
Chen-Hsuan Lin United States
Carlos Hernández Mexico
Georges‐Pierre Bonneau France
Gauthier Lafruit Belgium
Marius Preda relative to Rufael Mekuria Netherlands Rufael Mekuria's profile →
Citations per field
00.5×1.5×
Rufael Mekuria · 1×
Citations per year

Countries citing papers authored by Marius Preda

Since Specialization
Citations

This map shows the geographic impact of Marius Preda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marius Preda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Preda more than expected).

Fields of papers citing papers by Marius Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marius Preda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marius Preda. The network helps show where Marius Preda may publish in the future.

Co-authors

The 25 scholars most cited alongside Marius Preda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marius Preda Line = papers co-authored together Marius Preda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging MPEG Standards for Point Cloud Compression
Hit paper breakdown →
2018509
2 2019100
3 202155
4 202151
5 201940
6 201124
7 201921
8 200312
9 200812
10 202111
11 200811
12 201711
13 200311
14 20139
15 20089
16 20217
17 20237
18 20047
19 20205
20 20135

About Marius Preda

Marius Preda is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Human-Computer Interaction and Control and Systems Engineering, having authored 56 papers that have together received 987 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (14 papers), Advanced Vision and Imaging (13 papers), Video Analysis and Summarization (8 papers), Augmented Reality Applications (8 papers), Video Coding and Compression Technologies (7 papers), 3D Shape Modeling and Analysis (7 papers), Virtual Reality Applications and Impacts (6 papers) and Human Motion and Animation (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (446 citations), Computer Vision and Pattern Recognition (666 citations), Computational Mechanics (479 citations), Signal Processing (163 citations) and Geology (74 citations). Marius Preda has collaborated with scholars based in France, South Korea and United States. Frequent co-authors include Alexis M. Tourapis, Madhukar Budagavi, Khaled Mammou, Rufael Mekuria, Vladyslav Zakharchenko, Euee S. Jang, Maja Krivokuća, Robert Cohen, Vittorio Baroncini and Zhu Li. Their work appears in journals such as Signal Processing Image Communication, Electronics, IEEE Signal Processing Magazine, The Visual Computer and SMPTE Motion Imaging Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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